/**
 * @license
 * Copyright 2020 Google LLC. All Rights Reserved.
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * =============================================================================
 */

import {buffer, kernel_impls, KernelConfig, KernelFunc, TensorInfo, Tile, TileAttrs, TileInputs, util} from '@tensorflow/tfjs-core';

import {MathBackendWebGL} from '../backend_webgl';
import {TileProgram} from '../tile_gpu';

export const tile:
    (params:
         {inputs: TileInputs, backend: MathBackendWebGL, attrs: TileAttrs}) =>
        TensorInfo = ({inputs, backend, attrs}) => {
          const {x} = inputs;
          const {reps} = attrs;

          if (x.dtype === 'string') {
            const data = backend.texData.get(x.dataId).values as Uint8Array[];
            const decodedData = data.map(d => util.decodeString(d));
            const buf = buffer(x.shape, x.dtype, decodedData);
            return kernel_impls.tile(buf, reps);
          }

          const program = new TileProgram(x.shape, reps);
          const output = backend.runWebGLProgram(program, [x], x.dtype);

          return output;
        };

export const tileConfig: KernelConfig = {
  kernelName: Tile,
  backendName: 'webgl',
  kernelFunc: tile as {} as KernelFunc,
};
